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Khobkhun F, Srivanitchapoom P, Thanakamchokchai J, Richards J. The effect of a home-based exercise program on gait characteristics in an individual with Parkinson's disease over a one-year period: A case study. J Bodyw Mov Ther 2024; 39:512-517. [PMID: 38876677 DOI: 10.1016/j.jbmt.2024.03.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 02/29/2024] [Accepted: 03/13/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND The COVID-19 pandemic has placed a restriction on physiotherapy clinical visits for supervised exercise. It is important that individuals with Parkinson's Disease (PD) continue an exercise regime at home during the pandemic and also in normal situations. OBJECTIVE The purpose of this study was to explore the case history of an individual with PD who used a developed home-based exercise programme for one year during the COVID-19 pandemic. METHODS A 67 year-old married woman was diagnosed with PD stage 2.5 on the modified Hoehn and Yahr (HY) scale. Gait characteristics and the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor scores were assessed at baseline, 10 weeks, and 12 months. The home-based exercise program included breathing exercises, posture correction, stretching exercises, rotation of the axial segments, balance training, and task-specific gait training. RESULTS After 12 months, her MDS-UPDRS motor scores decreased when compared to baseline and 10 weeks, and gait characteristics at 12 months showed an increase in the degree of foot rotation, step length, cadence, and gait speed when compared to baseline and 10 weeks. CONCLUSION This case study showed that improvements in MDS-UPDRS and gait characteristics can continue over a 12 month period as a result of a home-based exercise programme. Therefore, home-based exercise programs should be encouraged with weekly monitoring, especially in individuals with gait disorders which show deterioration.
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Affiliation(s)
- Fuengfa Khobkhun
- Parkinson Movement and Research Collaboration Laboratory, Faculty of Physical Therapy, Mahidol University, Salaya, Nakorn Pathom, Thailand.
| | - Prachaya Srivanitchapoom
- Division of Neurology, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jenjira Thanakamchokchai
- Parkinson Movement and Research Collaboration Laboratory, Faculty of Physical Therapy, Mahidol University, Salaya, Nakorn Pathom, Thailand
| | - Jim Richards
- Allied Health Research Unit, University of Central Lancashire, Preston, UK
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Zhang X, Jin Y, Wang M, Ji C, Chen Z, Fan W, Rainer TH, Guan Q, Li Q. The impact of anxiety on gait impairments in Parkinson's disease: insights from sensor-based gait analysis. J Neuroeng Rehabil 2024; 21:68. [PMID: 38689288 PMCID: PMC11059709 DOI: 10.1186/s12984-024-01364-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 04/22/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Sensor-based gait analysis provides a robust quantitative tool for assessing gait impairments and their associated factors in Parkinson's disease (PD). Anxiety is observed to interfere with gait clinically, but this has been poorly investigated. Our purpose is to utilize gait analysis to uncover the effect of anxiety on gait in patients with PD. METHODS We enrolled 38 and 106 PD patients with and without anxiety, respectively. Gait parameters were quantitively examined and compared between two groups both in single-task (ST) and dual-task (DT) walking tests. Multiple linear regression was applied to evaluate whether anxiety independently contributed to gait impairments. RESULTS During ST, PD patients with anxiety presented significantly shorter stride length, lower gait velocity, longer stride time and stance time, longer stance phase, smaller toe-off (TO) and heel-strike (HS) angles than those without anxiety. While under DT status, the differences were diminished. Multiple linear regression analysis demonstrated that anxiety was an independent factor to a serials of gait parameters, particularly ST-TO (B = -2.599, (-4.82, -0.38)), ST-HS (B = -2.532, (-4.71, -0.35)), ST-TO-CV (B = 4.627, (1.71, 7.64)), ST-HS-CV(B = 4.597, (1.66, 7.53)), ST stance phase (B = 1.4, (0.22, 2.58)), and DT stance phase (B = 1.749, (0.56, 2.94)). CONCLUSION Our study discovered that anxiety has a significant impact on gait impairments in PD patients, especially exacerbating shuffling steps and prolonging stance phase. These findings highlight the importance of addressing anxiety in PD precision therapy to achieve better treatment outcomes.
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Affiliation(s)
- Xiaodan Zhang
- Department of Neurology, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China
- Department of Emergency Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Yulan Jin
- Department of Clinical Laboratory, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China
| | - Mateng Wang
- Department of General Surgery, Yinzhou NO.2 Hospital, Ningbo, Zhejiang Province, China
| | - Chengcheng Ji
- School of Medicine, Shaoxing University, Shaoxing, Zhejiang Province, China
| | - Zhaoying Chen
- Department of Neurology, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China
| | - Weinv Fan
- Department of Neurology, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China
| | | | - Qiongfeng Guan
- Department of Neurology, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China.
| | - Qianyun Li
- Department of Neurology, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China.
- Department of Emergency Medicine, University of Hong Kong, Hong Kong SAR, China.
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Palmisano C, Farinelli V, Camuncoli F, Favata A, Pezzoli G, Frigo CA, Isaias IU. Dynamic evaluation of spine kinematics in individuals with Parkinson's disease and freezing of gait. Gait Posture 2024; 108:199-207. [PMID: 37993298 DOI: 10.1016/j.gaitpost.2023.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 10/23/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Freezing of gait (FoG) is an episodic failure of gait exposing people with Parkinson's disease (PD) to a high risk of falling. Despite growing evidence of the interconnection between impaired trunk control and FoG, a detailed description of spinal kinematics during walking is still lacking in this population. RESEARCH QUESTION Do spinal alterations impact gait performance in individuals with PD and FoG? METHODS We analyzed kinematic data of 47 PD participants suffering (PD-FOG, N = 24) or not suffering from FoG (PD-NFOG, N = 23) and 15 healthy controls (HCO) during quiet standing and unperturbed walking. We estimated the main spinal variables (i.e., spinal length, lordosis and kyphosis angles, trunk inclination), the pelvis angles, and the shoulder-pelvis angles during gait and standing. We studied differences across conditions and groups and the relationships between postural and gait parameters using linear regression methods. RESULTS During standing and walking, both PD groups showed increased trunk inclination and decreased lordosis angle with respect to HCO, as well as a decreased range in variation of kyphosis angle, pelvic obliquity, and shoulder-pelvis angles. Only PD-FOG participants showed reduced range of lordosis angle and spinal length compared to HCO. PD-FOG individuals were also not able to straighten their spine during walking compared to standing. Stride length and velocity were decreased in both patient groups compared to HCO, while swing duration was reduced only in the PD-FOG group. In individuals with FoG, trunk inclination and lordosis angle showed moderate but significant positive correlations with all gait alterations. SIGNIFICANCE Spine alterations impacted gait performance in individuals with PD suffering from FoG. Excessive trunk inclination and poor mastering of the lordosis spinal region may create an unfavourable postural precondition for forward walking. Physical therapy should target combined spinal and stepping alterations in these individuals.
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Affiliation(s)
- C Palmisano
- Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany.
| | - V Farinelli
- Human Physiology Section of the DePT, Università degli Studi di Milano, Milano, Italy
| | - F Camuncoli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - A Favata
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - G Pezzoli
- Parkinson Institute Milan, ASST G. Pini-CTO, Milano, Italy
| | - C A Frigo
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - I U Isaias
- Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany; Parkinson Institute Milan, ASST G. Pini-CTO, Milano, Italy
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Miscusi M, Serrao M, Ricciardi L, Conte C, Castiglia SF, Ippolito G, Coppola G, Forcato S, Scerrati A, Raco A. Gait analysis, trunk movements, and electromyographic patterns after minimally invasive spine surgery for lumbar instability: An observational prospective study. World Neurosurg X 2024; 21:100262. [PMID: 38193093 PMCID: PMC10772388 DOI: 10.1016/j.wnsx.2023.100262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 11/28/2023] [Indexed: 01/10/2024] Open
Abstract
Objective The aim of the present study was to investigate trunk kinematics and spine muscle activation during walking after minimally invasive surgery in patients with L4-L5 degenerative spondylolisthesis suffering from lumbar instability (LI). Methods Eleven patients suffering from LI and 13 healthy controls (HC) were enrolled. Trunk kinematics and spine muscle activation patterns during walking were collected. Maximal trunk ranges of motion were also recorded from standing position. Assessments were performed pre-operatively (T0), 1 month (T1) and 3 months (T2) after MIS. Results We found significant improvement in spine muscle activation during walking at T2 compared to T0, mainly involving right/left symmetry at the operated level (L4-L5) and up-down synchronization from L3 to S1. Significant improvements in trunk rotation nearing to the HC group during walking were also found at T2 after surgery, though no changes were observed in the maximal range of motion of the trunk during standing. Furthermore, trunk rotation improvement correlated with a lower grade of residual disability. Conclusions Our findings indicate that trunk rotation improves after surgery, and impaired aspects of spine muscle activation can be improved with surgery. These biomechanical parameters could represent novel tools for monitoring the effect of surgery in LI and preventing impaired spine mobility and muscle activation.
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Affiliation(s)
- Massimo Miscusi
- Department of NESMOS, Sapienza University, via di Grottarossa 1035-1039, Rome, Italy
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome – Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
- Movement Analysis LAB, Policlinico Italia, Piazza del Campidano 6, 00162, Rome Italy
| | - Luca Ricciardi
- Department of NESMOS, Sapienza University, via di Grottarossa 1035-1039, Rome, Italy
| | - Carmela Conte
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome – Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
- Movement Analysis LAB, Policlinico Italia, Piazza del Campidano 6, 00162, Rome Italy
| | - Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome – Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Giorgio Ippolito
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome – Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Gianluca Coppola
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza, University of Rome – Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Stefano Forcato
- UO di Neurochirurgia, Pia Fondazione di Culto e Religione Cardinale G. Panico, Via San Pio X 4, 73039, Tricase, Italy
| | - Alba Scerrati
- Dipartimento di Morfologia, Chirurgia e Medicina Sperimentale, Università di Ferrara, via Luigi Borsari 46, 44121 Ferrara, Italy
| | - Antonino Raco
- Department of NESMOS, Sapienza University, via di Grottarossa 1035-1039, Rome, Italy
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Gholami M, Ward R, Mahal R, Mirian M, Yen K, Park KW, McKeown MJ, Wang ZJ. Automatic labeling of Parkinson's Disease gait videos with weak supervision. Med Image Anal 2023; 89:102871. [PMID: 37480795 DOI: 10.1016/j.media.2023.102871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 06/01/2023] [Accepted: 06/12/2023] [Indexed: 07/24/2023]
Abstract
Motor dysfunction in Parkinson's Disease (PD) patients is typically assessed by clinicians employing the Movement Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Such comprehensive clinical assessments are time-consuming, expensive, semi-subjective, and may potentially result in conflicting labels across different raters. To address this problem, we propose an automatic, objective, and weakly-supervised method for labeling PD patients' gait videos. The proposed method accepts videos of patients and classifies their gait scores as normal (Gait score in MDS-UPDRS = 0) or PD (MDS-UPDRS ≥ 1). Unlike previous work, the proposed method does not require a priori MDS-UPDRS ratings for training, utilizing only domain-specific knowledge obtained from neurologists. We propose several labeling functions that classify patients' gait and use a generative model to learn the accuracy of each labeling function in a self-supervised manner. Since results depended upon the estimated values of the patients' 3D poses, and existing pre-trained 3D pose estimators did not yield accurate results, we propose a weakly-supervised 3D human pose estimation method for fine-tuning pre-trained models in a clinical setting. Using leave-one-out evaluations, the proposed method obtains an accuracy of 89% on a dataset of 29 PD subjects - a significant improvement compared to previous work by 7%-10% depending upon the dataset. The method obtained state-of-the-art results on the Human3.6M dataset. Our results suggest that the use of labeling functions may provide a robust means to interpret and classify patient-oriented videos involving motor tasks.
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Affiliation(s)
- Mohsen Gholami
- Department of Electrical and Computer Engineering, University of British Columbia, Canada.
| | - Rabab Ward
- Department of Electrical and Computer Engineering, University of British Columbia, Canada.
| | - Ravneet Mahal
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
| | - Maryam Mirian
- Department of Electrical and Computer Engineering, University of British Columbia, Canada.
| | - Kevin Yen
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
| | - Kye Won Park
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
| | - Martin J McKeown
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada; Department of Medicine (Neurology), UBC, Canada.
| | - Z Jane Wang
- Department of Electrical and Computer Engineering, University of British Columbia, Canada.
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Banskota N, Fang X, Yuan D, Zhang W, Duan H. Comparative study of gait parameters of patients undergoing distal femoral resections with non-operated and healthy limbs: a meta-analysis study. Front Oncol 2023; 13:1089609. [PMID: 37810986 PMCID: PMC10552754 DOI: 10.3389/fonc.2023.1089609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 08/29/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Gait analysis is one of the most important components of functional outcome evaluation in patients with lower-extremity tumors. Disparities between operated limbs when compared with non-operated limbs and healthy populations based on gait parameters have rarely been studied. In the present study, we attempted to analyze the gait difference and its impacts on daily life. Methods The gait parameters of distal femoral tumor-resected patients were collected from PubMed, CNKI, MEDLINE, Embase, Cochrane, and Google Scholar till September 30, 2022, by strictly following the inclusion and exclusion criteria. Differences between gait parameters in the operated and non-operated limbs or healthy limbs of distal femoral tumor patients were analyzed based on stance phase, swing phase, cadence, and velocity. The fixed-effects and random-effects models were used to conduct a meta-analysis. Results Six studies were included according to the selection criteria. There were 224 patients in total in these studies. Standard mean differences were calculated for all of our outcomes. Our results showed that there was a minimal difference in the standard mean difference of gait parameters between operated and non-operated limbs and healthy limbs. Conclusion Distal femoral tumor resections have been associated with deficient muscle function and strength and impaired gait parameters. Minimal differences in the gait parameters highlighted the advantage of distal femoral resection when replaced with a prosthesis.
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Affiliation(s)
| | | | | | - Wenli Zhang
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Duan
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
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Manto M, Serrao M, Filippo Castiglia S, Timmann D, Tzvi-Minker E, Pan MK, Kuo SH, Ugawa Y. Neurophysiology of cerebellar ataxias and gait disorders. Clin Neurophysiol Pract 2023; 8:143-160. [PMID: 37593693 PMCID: PMC10429746 DOI: 10.1016/j.cnp.2023.07.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/19/2023] [Accepted: 07/11/2023] [Indexed: 08/19/2023] Open
Abstract
There are numerous forms of cerebellar disorders from sporadic to genetic diseases. The aim of this chapter is to provide an overview of the advances and emerging techniques during these last 2 decades in the neurophysiological tests useful in cerebellar patients for clinical and research purposes. Clinically, patients exhibit various combinations of a vestibulocerebellar syndrome, a cerebellar cognitive affective syndrome and a cerebellar motor syndrome which will be discussed throughout this chapter. Cerebellar patients show abnormal Bereitschaftpotentials (BPs) and mismatch negativity. Cerebellar EEG is now being applied in cerebellar disorders to unravel impaired electrophysiological patterns associated within disorders of the cerebellar cortex. Eyeblink conditioning is significantly impaired in cerebellar disorders: the ability to acquire conditioned eyeblink responses is reduced in hereditary ataxias, in cerebellar stroke and after tumor surgery of the cerebellum. Furthermore, impaired eyeblink conditioning is an early marker of cerebellar degenerative disease. General rules of motor control suggest that optimal strategies are needed to execute voluntary movements in the complex environment of daily life. A high degree of adaptability is required for learning procedures underlying motor control as sensorimotor adaptation is essential to perform accurate goal-directed movements. Cerebellar patients show impairments during online visuomotor adaptation tasks. Cerebellum-motor cortex inhibition (CBI) is a neurophysiological biomarker showing an inverse association between cerebellothalamocortical tract integrity and ataxia severity. Ataxic gait is characterized by increased step width, reduced ankle joint range of motion, increased gait variability, lack of intra-limb inter-joint and inter-segmental coordination, impaired foot ground placement and loss of trunk control. Taken together, these techniques provide a neurophysiological framework for a better appraisal of cerebellar disorders.
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Affiliation(s)
- Mario Manto
- Service des Neurosciences, Université de Mons, Mons, Belgium
- Service de Neurologie, CHU-Charleroi, Charleroi, Belgium
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, University of Rome Sapienza, Polo Pontino, Corso della Repubblica 79 04100, Latina, Italy
- Gait Analysis LAB Policlinico Italia, Via Del Campidano 6 00162, Rome, Italy
| | - Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, University of Rome Sapienza, Polo Pontino, Corso della Repubblica 79 04100, Latina, Italy
- Gait Analysis LAB Policlinico Italia, Via Del Campidano 6 00162, Rome, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy
| | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Elinor Tzvi-Minker
- Department of Neurology, University of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
- Syte Institute, Hamburg, Germany
| | - Ming-Kai Pan
- Cerebellar Research Center, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin 64041, Taiwan
- Department and Graduate Institute of Pharmacology, National Taiwan University College of Medicine, Taipei 10051, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei 10002, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City 11529, Taiwan
- Initiative for Columbia Ataxia and Tremor, Columbia University Irving Medical Center, New York, NY, USA
| | - Sheng-Han Kuo
- Institute of Biomedical Sciences, Academia Sinica, Taipei City 11529, Taiwan
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, Fukushima Medical University, Fukushima, Japan
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Jin ZH, Wang YX, Meng DT, Qin Y, Duan YN, Fang JP, Wang RD, Liu YJ, Liu C, Wang P, Yan HJ, Zhen Y, An X, Chen KK, Yu X, Lyu D, Yan XY, Fang BY. Intermittent theta-burst stimulation combined with physical therapy as an optimal rehabilitation in Parkinson's disease: study protocol for a randomised, double-blind, controlled trial. Trials 2023; 24:410. [PMID: 37328845 DOI: 10.1186/s13063-023-07425-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 06/02/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND First-line rehabilitative strategies to improve motor deficits are based on functional training (physical or occupational therapy), which has been demonstrated to facilitate neural reorganisation. Accumulating evidence suggests that non-invasive brain stimulation techniques, such as repetitive TMS (rTMS), may enhance neuroplasticity, thereby facilitating neural reorganisation and recovery from Parkinson's disease. Evidence also shows that intermittent theta-burst stimulation (iTBS) can improve motor function and quality of life in patients by promoting the excitability and neural remodelling of cerebral cortex. We aimed to combine iTBS stimulation with physiotherapy to improve the rehabilitation effect compared to physiotherapy alone in patients with Parkinson's disease. METHODS This randomised, double-blind clinical trial will enrol 50 Parkinson's disease patients aged 45-70 years with Hoehn and Yahr scale scores of 1-3. Patients are randomly assigned to either the iTBS + physiotherapy or sham-iTBS + physiotherapy group. The trial consists of a 2-week double-blind treatment period and a 24-week follow-up period. iTBS and sham-iTBS will be administered twice daily for 10 days based on physiotherapy. The primary outcome will be the third part of Movement Disorders-Unified Parkinson's Disease Rating Scale (MDS-UPDRS III) from the baseline to the first 2 days following completion hospitalised intervention. The secondary outcome will be 39-item Parkinson's Disease Questionnaire (PDQ-39) at 4 weeks, 12 weeks and 24 weeks after intervention. Tertiary outcomes are clinical evaluations and mechanism study outcomes such as NMSS, 6MWD, 10MT, TUG, BBS, MRI, and EEG, the length of time between the drug needs to be adjusted when symptoms fluctuate. DISCUSSION The aim of this study is to demonstrate that iTBS can promote overall function and quality of life in Parkinson's disease patients using physiotherapy and that this efficacy may be associated with altered neuroplasticity in exercise-related brain regions. The iTBS combined with physiotherapy training model will be evaluated during a 6-month follow-up period. With significant improvement in quality of life and motor function, iTBS combined with physiotherapy can be considered as a first-line rehabilitation option for Parkinson's disease. The potential of iTBS to enhance neuroplasticity in the brain should have a more positive impact in increasing the generality and efficiency of physiotherapy, improving the quality of life and overall functional status of patients with Parkinson's disease. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2200056581. Registered on 8 February 2022.
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Affiliation(s)
- Zhao-Hui Jin
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Yi-Xuan Wang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - De-Tao Meng
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Yi Qin
- Capital Medical University, Beijing, China
| | | | - Jin-Ping Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Rui-Dan Wang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Yan-Jun Liu
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Cui Liu
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Ping Wang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Hong-Jiao Yan
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Yi Zhen
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Xia An
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Ke-Ke Chen
- Capital Medical University, Beijing, China
| | - Xin Yu
- Capital Medical University, Beijing, China
| | - Diyang Lyu
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Xiao-Yan Yan
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
| | - Bo-Yan Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China.
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Wang Y, Li Y, Liu S, Liu P, Zhu Z, Wu J. Gait characteristics related to fall risk in patients with cerebral small vessel disease. Front Neurol 2023; 14:1166151. [PMID: 37346167 PMCID: PMC10279878 DOI: 10.3389/fneur.2023.1166151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/15/2023] [Indexed: 06/23/2023] Open
Abstract
Background Falls and gait disturbance are significant clinical manifestations of cerebral small vessel disease (CSVD). However, few relevant studies are reported at present. We aimed to investigate gait characteristics and fall risk in patients with CSVD. Methods A total of 119 patients with CSVD admitted to the Department of Neurology at Tianjin Huanhu Hospital between 17 August 2018 and 7 November 2018 were enrolled in this study. All patients underwent cerebral magnetic resonance imaging scanning and a 2-min walking test using an OPAL wearable sensor and Mobility Lab software. Relevant data were collected using the gait analyzer test system to further analyze the time-space and kinematic parameters of gait. All patients were followed up, and univariate and multivariate logistic regression analyses were conducted to analyze the gait characteristics and relevant risk factors in patients with CSVD at an increased risk of falling. Results All patients were grouped according to the presence or absence of falling and fear of falling and were divided into a high-fall risk group (n = 35) and a low-fall risk group (n = 72). Logistic multivariate regression analysis showed that the toe-off angle [odds ratio (OR) = 0.742, 95% confidence interval (CI) 0.584-0.942, p < 0.05], toe-off angle coefficient of variation (CV) (OR = 0.717, 95% CI: 0.535-0.962, p < 0.05), stride length CV (OR = 1.256, 95% CI: 1.017-1.552, p < 0.05), and terminal double support CV (OR = 1.735, 95% CI: 1.271-2.369, p < 0.05) were statistically significant (p < 0.05) and were independent risk factors for high-fall risk in patients with CSVD. Conclusion CSVD patients with seemingly normal gait and ambulation independently still have a high risk of falling, and gait spatiotemporal-kinematic parameters, gait symmetry, and gait variability are important indicators to assess the high-fall risk. The decrease in toe-off angle, in particular, and an increase in related parameters of CV, can increase the fall risk of CSVD patients.
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Affiliation(s)
- Yajing Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Yanna Li
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Shoufeng Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Peipei Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Zhizhong Zhu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Rehabilitation, Tianjin Huanhu Hospital, Tianjin, China
| | - Jialing Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
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10
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Castiglia SF, Trabassi D, Conte C, Ranavolo A, Coppola G, Sebastianelli G, Abagnale C, Barone F, Bighiani F, De Icco R, Tassorelli C, Serrao M. Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson's Disease. SENSORS (BASEL, SWITZERLAND) 2023; 23:4983. [PMID: 37430896 DOI: 10.3390/s23104983] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/14/2023] [Accepted: 05/16/2023] [Indexed: 07/12/2023]
Abstract
The aim of this study was to assess the ability of multiscale sample entropy (MSE), refined composite multiscale entropy (RCMSE), and complexity index (CI) to characterize gait complexity through trunk acceleration patterns in subjects with Parkinson's disease (swPD) and healthy subjects, regardless of age or gait speed. The trunk acceleration patterns of 51 swPD and 50 healthy subjects (HS) were acquired using a lumbar-mounted magneto-inertial measurement unit during their walking. MSE, RCMSE, and CI were calculated on 2000 data points, using scale factors (τ) 1-6. Differences between swPD and HS were calculated at each τ, and the area under the receiver operating characteristics, optimal cutoff points, post-test probabilities, and diagnostic odds ratios were calculated. MSE, RCMSE, and CIs showed to differentiate swPD from HS. MSE in the anteroposterior direction at τ4 and τ5, and MSE in the ML direction at τ4 showed to characterize the gait disorders of swPD with the best trade-off between positive and negative posttest probabilities and correlated with the motor disability, pelvic kinematics, and stance phase. Using a time series of 2000 data points, a scale factor of 4 or 5 in the MSE procedure can yield the best trade-off in terms of post-test probabilities when compared to other scale factors for detecting gait variability and complexity in swPD.
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Affiliation(s)
- Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, 00078 Monte Porzio Catone, Italy
| | - Dante Trabassi
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Carmela Conte
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Alberto Ranavolo
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Gianluca Coppola
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Gabriele Sebastianelli
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Chiara Abagnale
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Francesca Barone
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
| | - Federico Bighiani
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Movement Analysis Research Unit, IRCSS Mondino Foundation, 27100 Pavia, Italy
| | - Roberto De Icco
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Movement Analysis Research Unit, IRCSS Mondino Foundation, 27100 Pavia, Italy
| | - Cristina Tassorelli
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Movement Analysis Research Unit, IRCSS Mondino Foundation, 27100 Pavia, Italy
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, 04100 Latina, Italy
- Movement Analysis Laboratory, Policlinico Italia, 00162 Rome, Italy
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11
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Han Y, Liu X, Zhang N, Zhang X, Zhang B, Wang S, Liu T, Yi J. Automatic Assessments of Parkinsonian Gait with Wearable Sensors for Human Assistive Systems. SENSORS (BASEL, SWITZERLAND) 2023; 23:2104. [PMID: 36850705 PMCID: PMC9959760 DOI: 10.3390/s23042104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/28/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
The rehabilitation evaluation of Parkinson's disease has always been the research focus of human assistive systems. It is a research hotspot to objectively and accurately evaluate the gait condition of Parkinson's disease patients, thereby adjusting the actuators of the human-machine system and making rehabilitation robots better adapt to the recovery process of patients. The rehabilitation evaluation of Parkinson's disease has always been the research focus of rehabilitation robots. It is a research hotspot to be able to objectively and accurately evaluate the recovery of Parkinson's disease patients, thereby adjusting the driving module of the human-machine collaboration system in real time, so that rehabilitation robots can better adapt to the recovery process of Parkinson's disease. The gait task in the Unified Parkinson's Disease Rating Scale (UPDRS) is a widely accepted standard for assessing the gait impairments of patients with Parkinson's disease (PD). However, the assessments conducted by neurologists are always subjective and inaccurate, and the results are determined by the neurologists' observation and clinical experience. Thus, in this study, we proposed a novel machine learning-based method of automatically assessing the gait task in UPDRS with wearable sensors as a more convenient and objective alternative means for PD gait assessment. In the design, twelve gait features, including three spatial-temporal features and nine kinematic features, were extracted and calculated from two shank-mounted IMUs. A novel nonlinear model is developed for calculating the score of gait task from the gait features. Twenty-five PD patients and twenty-eight healthy subjects were recruited for validating the proposed method. For comparison purpose, three traditional models, which have been used in previous studies, were also tested by the same dataset. In terms of percentages of participants, 84.9%, 73.6%, 73.6%, and 66.0% of the participants were accurately assigned into the true level with the proposed nonlinear model, the support vector machine model, the naive Bayes model, and the linear regression model, respectively, which indicates that the proposed method has a good performance on calculating the score of the UPDRS gait task and conformance with the rating done by neurologists.
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Affiliation(s)
- Yi Han
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
- Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi 782-8502, Japan
| | - Xiangzhi Liu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Ning Zhang
- The National Research Center for Rehabilitation Technical Aids, Beijing 102676, China
| | - Xiufeng Zhang
- The National Research Center for Rehabilitation Technical Aids, Beijing 102676, China
| | - Bin Zhang
- The College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
| | - Shuoyu Wang
- Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi 782-8502, Japan
| | - Tao Liu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Jingang Yi
- Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, NJ 08854, USA
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12
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Geritz J, Welzel J, Hansen C, Maetzler C, Hobert MA, Elshehabi M, Knacke H, Aleknonytė-Resch M, Kudelka J, Bunzeck N, Maetzler W. Cognitive parameters can predict change of walking performance in advanced Parkinson's disease - Chances and limits of early rehabilitation. Front Aging Neurosci 2022; 14:1070093. [PMID: 36620765 PMCID: PMC9813446 DOI: 10.3389/fnagi.2022.1070093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction Links between cognition and walking performance in patients with Parkinson's disease (PD), which both decline with disease progression, are well known. There is lack of knowledge regarding the predictive value of cognition for changes in walking performance after individualized therapy. The aim of this study is to identify relevant predictive cognitive and affective parameters, measurable in daily clinical routines, for change in quantitative walking performance after early geriatric rehabilitation. Methods Forty-seven acutely hospitalized patients with advanced PD were assessed at baseline (T1) and at the end (T2) of a 2-week early rehabilitative geriatric complex treatment (ERGCT). Global cognitive performance (Montreal Cognitive Assessment, MoCA), EF and divided attention (Trail Making Test B minus A, delta TMT), depressive symptoms, and fear of falling were assessed at T1. Change in walking performance was determined by the difference in quantitative walking parameters extracted from a sensor-based movement analysis over 20 m straight walking in single (ST, fast and normal pace) and dual task (DT, with secondary cognitive, respectively, motor task) conditions between T1 and T2. Bayesian regression (using Bayes Factor BF10) and multiple linear regression models were used to determine the association of non-motor characteristics for change in walking performance. Results Under ST, there was moderate evidence (BF10 = 7.8, respectively, BF10 = 4.4) that lower performance in the ∆TMT at baseline is associated with lower reduction of step time asymmetry after treatment (R 2 adj = 0.26, p ≤ 0.008, respectively, R 2 adj = 0.18, p ≤ 0.009). Under DT walking-cognitive, there was strong evidence (BF10 = 29.9, respectively, BF10 = 27.9) that lower performance in the ∆TMT is associated with more reduced stride time and double limb support (R 2 adj = 0.62, p ≤ 0.002, respectively, R 2 adj = 0.51, p ≤ 0.009). There was moderate evidence (BF10 = 5.1) that a higher MoCA total score was associated with increased gait speed after treatment (R 2 adj = 0.30, p ≤ 0.02). Discussion Our results indicate that the effect of ERGT on change in walking performance is limited for patients with deficits in EF and divided attention. However, these patients also seem to walk more cautiously after treatment in walking situations with additional cognitive demand. Therefore, future development of individualized treatment algorithms is required, which address individual needs of these vulnerable patients.
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Affiliation(s)
- Johanna Geritz
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany,Department of Psychology, University of Lübeck, Lübeck, Germany,*Correspondence: Johanna Geritz,
| | - Julius Welzel
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Clint Hansen
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Corina Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Markus A. Hobert
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Morad Elshehabi
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Henrike Knacke
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | | | - Jennifer Kudelka
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Nico Bunzeck
- Department of Psychology, University of Lübeck, Lübeck, Germany,Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Lübeck, Germany
| | - Walter Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
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13
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Schootemeijer S, Weijer RHA, Hoozemans MJM, Delbaere K, Pijnappels M, van Schooten KS. Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise. SENSORS (BASEL, SWITZERLAND) 2022; 23:101. [PMID: 36616698 PMCID: PMC9823409 DOI: 10.3390/s23010101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
Gait quality characteristics obtained from daily-life accelerometry are clinically relevant for fall risk in older adults but it is unknown whether these characteristics are responsive to changes in gait quality. We aimed to test whether accelerometry-based daily-life gait quality characteristics are reliable and responsive to changes over one year in older adults who experienced a fall or an exercise intervention. One-week trunk acceleration data were collected from 522 participants (65-97 years), at baseline and after one year. We calculated median values of walking speed, regularity (sample entropy), stability (logarithmic rate of divergence per stride), and a gait quality composite score, across all 10-s gait epochs derived from one-week gait episodes. Intraclass correlation coefficients (ICC) and limits of agreement (LOA) were determined for 198 participants who did not fall nor participated in an exercise intervention during follow-up. For responsiveness to change, we determined the number of participants who fell (n = 209) or participated in an exercise intervention (n = 115) that showed a change beyond the LOA. ICCs for agreement between baseline and follow-up exceeded 0.70 for all gait quality characteristics except for vertical gait stability (ICC = 0.69, 95% CI [0.62, 0.75]) and walking speed (ICC = 0.68, 95% CI [0.62, 0.74]). Only walking speed, vertical and mediolateral gait stability changed significantly in the exercisers over one year but effect sizes were below 0.2. The characteristic associated with most fallers beyond the LOA was mediolateral sample entropy (4.8% of fallers). For the exercisers, this was gait stability in three directions and the gait quality composite score (2.6% of exercisers). The gait quality characteristics obtained by median values over one week of trunk accelerometry were not responsive to presumed changes in gait quality after a fall or an exercise intervention in older people. This is likely due to large (within subjects) differences in gait behaviour that participants show in daily life.
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Affiliation(s)
- Sabine Schootemeijer
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Roel H. A. Weijer
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- Department of Neurology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Marco J. M. Hoozemans
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
| | - Kim Delbaere
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney 2031, Australia
- School of Population Health, University of New South Wales, Sydney 2052, Australia
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
| | - Kimberley S. van Schooten
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney 2031, Australia
- School of Population Health, University of New South Wales, Sydney 2052, Australia
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14
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Zhang X, Fan W, Yu H, Li L, Chen Z, Guan Q. Single- and dual-task gait performance and their diagnostic value in early-stage Parkinson's disease. Front Neurol 2022; 13:974985. [PMID: 36313494 PMCID: PMC9615249 DOI: 10.3389/fneur.2022.974985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/28/2022] [Indexed: 11/25/2022] Open
Abstract
Background Gait parameters are considered potential diagnostic markers of Parkinson's disease (PD). We aimed to 1) assess the gait impairment in early-stage PD and its related factors in the single-task (ST) and dual-task (DT) walking tests and 2) evaluate and compare the diagnostic value of gait parameters for early-stage PD under ST and DT conditions. Methods A total of 97 early-stage PD patients and 41 healthy controls (HC) were enrolled at Hwa Mei hospital. Gait parameters were gathered and compared between the two groups in the ST and DT walking test, controlling for covariates. Utilizing the receiver operating characteristic curve, diagnostic parameters were investigated. Results In the ST walking test, significantly altered gait patterns could be observed in early-stage PD patients in all domains of gait, except for asymmetry (P < 0.05). Compared to the ST walking test, the early-stage PD group performed poorly in the DT walking test in the pace, rhythm, variability and postural control domain (P < 0.05). Older, heavier subjects, as well as those with lower height, lower level of education and lower gait velocity, were found to have a poorer gait performance (P < 0.05). Stride length (AUC = 0.823, sensitivity, 68.0%; specificity, 85.4%; P < 0.001) and heel strike angle (AUC = 0.796, sensitivity, 71.1%; specificity, 80.5%; P < 0.001) could distinguish early-stage PD patients from HCs with moderate accuracy, independent of covariates. The diagnostic accuracy of gait parameters under ST conditions were statistically noninferior to those under DT conditions(P>0.05). Combining all gait parameters with diagnostic values under ST and DT walking test, the predictive power significantly increased with an AUC of 0.924 (sensitivity, 85.4%; specificity, 92.7%; P < 0.001). Conclusion Gait patterns altered in patients with early-stage PD but the gait symmetry remained preserved. Stride length and heel strike angle were the two most prominent gait parameters of altered gait in early-stage of PD that could serve as diagnostic markers of early-stage PD. Our findings are helpful to understand the gait pattern of early-stage PD and its related factors and can be conducive to the development of new diagnostic tools for early-stage PD.
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Affiliation(s)
| | | | | | | | - Zhaoying Chen
- Department of Neurology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Qiongfeng Guan
- Department of Neurology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
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15
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Zhu S, Wu Z, Wang Y, Jiang Y, Gu R, Zhong M, Jiang X, Shen B, Zhu J, Yan J, Pan Y, Zhang L. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson's Disease. Brain Sci 2022; 12:1213. [PMID: 36138949 PMCID: PMC9497215 DOI: 10.3390/brainsci12091213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/17/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Gait disturbance is a prototypical feature of Parkinson's disease (PD), and the quantification of gait using wearable sensors is promising. This study aimed to identify gait impairment in the early and progressive stages of PD according to the Hoehn and Yahr (H-Y) scale. A total of 138 PD patients and 56 healthy controls (HCs) were included in our research. We collected gait parameters using the JiBuEn gait-analysis system. For spatiotemporal gait parameters and kinematic gait parameters, we observed significant differences in stride length (SL), gait velocity, the variability of SL, heel strike angle, and the range of motion (ROM) of the ankle, knee, and hip joints between HCs and PD patients in H-Y Ⅰ-Ⅱ. The changes worsened with the progression of PD. The differences in the asymmetry index of the SL and ROM of the hip were found between HCs and patients in H-Y Ⅳ. Additionally, these gait parameters were significantly associated with Unified Parkinson's Disease Rating Scale and Parkinson's Disease Questionnaire-39. This study demonstrated that gait impairment occurs in the early stage of PD and deteriorates with the progression of the disease. The gait parameters mentioned above may help to detect PD earlier and assess the progression of PD.
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Affiliation(s)
- Sha Zhu
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhuang Wu
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Yaxi Wang
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yinyin Jiang
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Ruxin Gu
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Min Zhong
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xu Jiang
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Bo Shen
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jun Zhu
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jun Yan
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yang Pan
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Li Zhang
- Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
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16
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Castiglia SF, Trabassi D, De Icco R, Tatarelli A, Avenali M, Corrado M, Grillo V, Coppola G, Denaro A, Tassorelli C, Serrao M. Harmonic ratio is the most responsive trunk-acceleration derived gait index to rehabilitation in people with Parkinson's disease at moderate disease stages. Gait Posture 2022; 97:152-158. [PMID: 35961132 DOI: 10.1016/j.gaitpost.2022.07.235] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 07/14/2022] [Accepted: 07/18/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Harmonic ratios (HRs), recurrence quantification analysis in the antero-posterior direction (RQAdetAP), and stride length coefficient of variation (CV) have recently been shown to characterize gait abnormalities and fall risk in people with Parkinson's disease (pwPD) at moderate disease stages. RESEARCH QUESTION This study aimed to i) assess the internal and external responsiveness to rehabilitation of HR, RQAdetAP, and CV, ii) identify the baseline predictors of normalization of the gait stability indexes, and iii) investigate the correlations between the gait indexes modifications (∆) and clinical and kinematic ∆s in pwPD at Hoehn and Yahr disease staging classification 3. METHODS The trunk acceleration patterns of 21 pwPD and 21 age- and speed-matched healthy subjects (HSmatched) were acquired during gait using an inertial measurement unit at baseline (T0). pwPD were also assessed after a 4-week rehabilitation period (T1). Each participant's HR in the antero-posterior (HRAP), medio-lateral (HRML), and vertical directions, RQAdetAP, CV, spatio-temporal, and kinematic variables were calculated. RESULTS At T1, HRAP and HRML improved to normative values and showed high internal and external responsiveness. Lower HRs and higher pelvic rotation values at baseline were predictors of ∆HRs. A minimal clinically important difference (MCID) ≥ 21.5 % is required to normalize HRAP with 95 % probability. MCID ≥ 36.9 % is required to normalize HRML with 92 % probability. ∆HRAP correlated with ∆HRML and both correlated with ∆stride length and ∆pelvic rotation, regardless of ∆gait speed. RQAdetAP and step length CV were not responsive to rehabilitation. SIGNIFICANCE When using inertial measurement units, HRAP and HRML can be considered as responsive outcome measures for assessing the effectiveness of rehabilitation on trunk smoothness during walking in pwPD at moderate disease stages.
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Affiliation(s)
- Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, Corso della Repubblica 70, 04100 Latina, Italy; Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy.
| | - Dante Trabassi
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, Corso della Repubblica 70, 04100 Latina, Italy
| | - Roberto De Icco
- Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy; Movement Analysis Research Unit, IRCCS Mondino Foundation, via Mondino, 2, 27100 Pavia, Italy
| | - Antonella Tatarelli
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, via Fontana Candida, 1, Monte Porzio Catone, 00078 Rome, Italy; Department of Human Neurosciences, "Sapienza" University of Rome, viale dell'Università, 30, 00185 Rome, Italy
| | - Micol Avenali
- Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy; Movement Analysis Research Unit, IRCCS Mondino Foundation, via Mondino, 2, 27100 Pavia, Italy
| | - Michele Corrado
- Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy; Movement Analysis Research Unit, IRCCS Mondino Foundation, via Mondino, 2, 27100 Pavia, Italy
| | - Valentina Grillo
- Movement Analysis Research Unit, IRCCS Mondino Foundation, via Mondino, 2, 27100 Pavia, Italy
| | - Gianluca Coppola
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, Corso della Repubblica 70, 04100 Latina, Italy
| | - Alessandro Denaro
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, Corso della Repubblica 70, 04100 Latina, Italy
| | - Cristina Tassorelli
- Department of Brain and Behavioral Sciences, University of Pavia, via Bassi, 21, 27100 Pavia, Italy; Movement Analysis Research Unit, IRCCS Mondino Foundation, via Mondino, 2, 27100 Pavia, Italy
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome, Polo Pontino, Corso della Repubblica 70, 04100 Latina, Italy; Movement Analysis Laboratory, Policlinico Italia, piazza del campidano, 6, 00162 Rome, Italy
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Machine Learning Approach to Support the Detection of Parkinson's Disease in IMU-Based Gait Analysis. SENSORS 2022; 22:s22103700. [PMID: 35632109 PMCID: PMC9148133 DOI: 10.3390/s22103700] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/03/2022] [Accepted: 05/10/2022] [Indexed: 02/01/2023]
Abstract
The aim of this study was to determine which supervised machine learning (ML) algorithm can most accurately classify people with Parkinson’s disease (pwPD) from speed-matched healthy subjects (HS) based on a selected minimum set of IMU-derived gait features. Twenty-two gait features were extrapolated from the trunk acceleration patterns of 81 pwPD and 80 HS, including spatiotemporal, pelvic kinematics, and acceleration-derived gait stability indexes. After a three-level feature selection procedure, seven gait features were considered for implementing five ML algorithms: support vector machine (SVM), artificial neural network, decision trees (DT), random forest (RF), and K-nearest neighbors. Accuracy, precision, recall, and F1 score were calculated. SVM, DT, and RF showed the best classification performances, with prediction accuracy higher than 80% on the test set. The conceptual model of approaching ML that we proposed could reduce the risk of overrepresenting multicollinear gait features in the model, reducing the risk of overfitting in the test performances while fostering the explainability of the results.
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Godi M, Arcolin I, Giardini M, Corna S, Schieppati M. A pathophysiological model of gait captures the details of the impairment of pace/rhythm, variability and asymmetry in Parkinsonian patients at distinct stages of the disease. Sci Rep 2021; 11:21143. [PMID: 34707168 PMCID: PMC8551236 DOI: 10.1038/s41598-021-00543-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/05/2021] [Indexed: 01/15/2023] Open
Abstract
Locomotion in people with Parkinson' disease (pwPD) worsens with the progression of disease, affecting independence and quality of life. At present, clinical practice guidelines recommend a basic evaluation of gait, even though the variables (gait speed, cadence, step length) may not be satisfactory for assessing the evolution of locomotion over the course of the disease. Collecting variables into factors of a conceptual model enhances the clinical assessment of disease severity. Our aim is to evaluate if factors highlight gait differences between pwPD and healthy subjects (HS) and do it at earlier stages of disease compared to single variables. Gait characteristics of 298 pwPD and 84 HS able to walk without assistance were assessed using a baropodometric walkway (GAITRite®). According to the structure of a model previously validated in pwPD, eight spatiotemporal variables were grouped in three factors: pace/rhythm, variability and asymmetry. The model, created from the combination of three factor scores, proved to outperform the single variables or the factors in discriminating pwPD from HS. When considering the pwPD split into the different Hoehn and Yahr (H&Y) stages, the spatiotemporal variables, factor scores and the model showed that multiple impairments of gait appear at H&Y stage 2.5, with the greatest difference from HS at stage 4. A contrasting behavior was found for the asymmetry variables and factor, which showed differences from the HS already in the early stages of PD. Our findings support the use of factor scores and of the model with respect to the single variables in gait staging in PD.
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Affiliation(s)
- Marco Godi
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Ilaria Arcolin
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy.
| | - Marica Giardini
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Stefano Corna
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Marco Schieppati
- Scientific Institute of Pavia, Istituti Clinici Scientifici Maugeri IRCCS, 27100, Pavia, Italy
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Putortì A, Corrado M, Avenali M, Martinelli D, Allena M, Cristina S, Grillo V, Martinis L, Tamburin S, Serrao M, Pisani A, Tassorelli C, De Icco R. The Effects of Intensive Neurorehabilitation on Sequence Effect in Parkinson's Disease Patients With and Without Freezing of Gait. Front Neurol 2021; 12:723468. [PMID: 34557151 PMCID: PMC8453149 DOI: 10.3389/fneur.2021.723468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The sequence effect (SE), defined as a reduction in amplitude of repetitive movements, is a common clinical feature of Parkinson's disease (PD) and is supposed to be a major contributor to freezing of gait (FOG). During walking, SE manifests as a step-by-step reduction in step length when approaching a turning point or gait destination, resulting in the so-called destination sequence effect (dSE). Previous studies explored the therapeutic effects of several strategies on SE, but none of them evaluated the role of an intensive rehabilitative program. Objectives: Here we aim to study the effects of a 4-week rehabilitative program on dSE in patients with PD with and without FOG. Methods: Forty-three patients (30 males, 70.6 ± 7.5 years old) with idiopathic PD were enrolled. The subjects were divided into two groups: patients with (PD + FOG, n = 23) and without FOG (PD - FOG, n = 20). All patients underwent a standardized 4-week intensive rehabilitation in-hospital program. At hospital admission (T0) and discharge (T1), all subjects were evaluated with an inertial gait analysis for dSE recording. Results: At T0, the dSE was more negative in the PD + FOG group (-0.80 ± 0.6) when compared to the PD - FOG group (-0.39 ± 0.3) (p = 0.007), even when controlling for several clinical and demographic features. At T1, the dSE was reduced in the overall study population (p = 0.001), with a more pronounced improvement in the PD + FOG group (T0: -0.80 ± 0.6; T1: -0.23 ± 0.4) when compared to the PD - FOG group (T0: -0.39 ± 0.3; T1: -0.22 ± 0.5) (p = 0.012). At T1, we described in the overall study population an improvement in speed, cadence, stride duration, and stride length (p = 0.001 for all variables). Conclusions: dSE is a core feature of PD gait dysfunction, specifically in patients with FOG. A 4-week intensive rehabilitative program improved dSE in PD patients, exerting a more notable beneficial effect in the PD + FOG group.
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Affiliation(s)
- Alessia Putortì
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Michele Corrado
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Micol Avenali
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Daniele Martinelli
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Marta Allena
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Silvano Cristina
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Valentina Grillo
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Luca Martinis
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Public Health, Experimental Medicine and Forensic Science, University of Pavia, Pavia, Italy
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mariano Serrao
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
- Movement Analysis Laboratory, Policlinico Italia, Rome, Italy
| | - Antonio Pisani
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Cristina Tassorelli
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Roberto De Icco
- Movement Analysis Research Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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20
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Donisi L, Cesarelli G, Balbi P, Provitera V, Lanzillo B, Coccia A, D'Addio G. Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021; 18:6995-7009. [PMID: 34517568 DOI: 10.3934/mbe.2021348] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Parkinson's disease is the second most common neurodegenerative disorder in the world. Assumed that gait dysfunctions represent a major motor symptom for the pathology, gait analysis can provide clinicians quantitative information about the rehabilitation outcome of patients. In this scenario, wearable inertial systems for gait analysis can be a valid tool to assess the functional recovery of patients in an automatic and quantitative way, helping clinicians in decision making. Aim of the study is to evaluate the impact of the short-term rehabilitation on gait and balance of patients with Parkinson's disease. A cohort of 12 patients with Idiopathic Parkinson's disease performed a gait analysis session instrumented by a wearable inertial system for gait analysis: Opal System, by APDM Inc., with spatial and temporal parameters being analyzed through a statistic and machine learning approach. Six out of fourteen motion parameters exhibited a statistically significant difference between the measurements at admission and at discharge of the patients, while the machine learning analysis confirmed the separability of the two phases in terms of Accuracy and Area under the Receiving Operating Characteristic Curve. The rehabilitation treatment especially improved the motion parameters related to the gait. The study shows the positive impact on the gait of a short-term rehabilitation in patients with Parkinson's disease and the feasibility of the wearable inertial devices, that are increasingly spreading in clinical practice, to quantitatively assess the gait improvement.
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Affiliation(s)
- Leandro Donisi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Campania, Italy
- Department of Bioengineering, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
| | - Giuseppe Cesarelli
- Department of Bioengineering, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
- Department of Chemical, Materials and Production Engineering, University of Naples Federico II, Naples, Campania, Italy
| | - Pietro Balbi
- Department of Neurorehabilitation, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
| | - Vincenzo Provitera
- Department of Neurorehabilitation, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
| | - Bernardo Lanzillo
- Department of Neurorehabilitation, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
| | - Armando Coccia
- Department of Bioengineering, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
- Department of Information Technology and Electrical Engineering, University of Naples Federico II, Naples, Campania, Italy
| | - Giovanni D'Addio
- Department of Bioengineering, Institute of Care and Scientific Research ICS Maugeri, Telese Terme, Campania, Italy
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Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson's Disease. SENSORS 2021; 21:s21103449. [PMID: 34063468 PMCID: PMC8156709 DOI: 10.3390/s21103449] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/08/2021] [Accepted: 05/13/2021] [Indexed: 12/24/2022]
Abstract
The aims of this study were to assess the ability of 16 gait indices to identify gait instability and recurrent fallers in persons with Parkinson’s disease (pwPD), regardless of age and gait speed, and to investigate their correlation with clinical and kinematic variables. The trunk acceleration patterns were acquired during the gait of 55 pwPD and 55 age-and-speed matched healthy subjects using an inertial measurement unit. We calculated the harmonic ratios (HR), percent recurrence, and percent determinism (RQAdet), coefficient of variation, normalized jerk score, and the largest Lyapunov exponent for each participant. A value of ≤1.50 for the HR in the antero-posterior direction discriminated between pwPD at Hoehn and Yahr (HY) stage 3 and healthy subjects with a 67% probability, between pwPD at HY 3 and pwPD at lower HY stages with a 73% probability, and it characterized recurrent fallers with a 77% probability. Additionally, HR in the antero-posterior direction was correlated with pelvic obliquity and rotation. RQAdet in the antero-posterior direction discriminated between pwPD and healthy subjects with 67% probability, regardless of the HY stage, and was correlated with stride duration and cadence. Therefore, HR and RQAdet in the antero-posterior direction can both be used as age- and-speed-independent markers of gait instability.
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22
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Mild Gait Impairment and Its Potential Diagnostic Value in Patients with Early-Stage Parkinson's Disease. Behav Neurol 2021; 2021:6696454. [PMID: 33884040 PMCID: PMC8041560 DOI: 10.1155/2021/6696454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/20/2021] [Indexed: 11/17/2022] Open
Abstract
Methods 32 patients with early-stage PD and 30 healthy control subjects (HC) were enrolled. All participants completed the instrumented stand and walk test, and gait data was collected using wearable sensors. Results We observed increased variability of stride length (SL) (P < 0.001), stance phase time (StPT) (P = 0.004), and swing phase time (SwPT) (P = 0.011) in PD. There were decreased heel strike (HS) (P = 0.001), range of motion of knee (P = 0.036), and hip joints (P < 0.001) in PD. In symmetry analysis, no difference was found in any of the assessed gait parameters between HC and PD. Only total steps (AUC = 0.763, P < 0.001), SL (AUC = 0.701, P = 0.007), SL variability (AUC = 0.769, P < 0.001), StPT variability (AUC = 0.712, P = 0.004), and SwPT variability (AUC = 0.688, P = 0.011) had potential diagnostic value. When these five gait parameters were combined, the predictive power was found to increase, with the highest AUC of 0.802 (P < 0.001). Conclusions Patients with early-stage PD presented increased variability but still symmetrical gait pattern. Some specific gait parameters can be applied to diagnose early-stage PD which may increase diagnosis accuracy. Our findings are helpful to improve patient's quality of life.
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Bouça-Machado R, Branco D, Fonseca G, Fernandes R, Abreu D, Guerreiro T, Ferreira JJ. Kinematic and Clinical Outcomes to Evaluate the Efficacy of a Multidisciplinary Intervention on Functional Mobility in Parkinson's Disease. Front Neurol 2021; 12:637620. [PMID: 33833729 PMCID: PMC8021905 DOI: 10.3389/fneur.2021.637620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/15/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Functional mobility (FM) is a concept that incorporates the capacity of a person to move independently and safely to accomplish tasks. It has been proposed as a Parkinson's disease (PD) functional and global health outcome. In this study, we aimed to identify which kinematic and clinical outcomes changes better predict FM changes when PD patients are submitted to a specialized multidisciplinary program. Methods: PD patients engaged in a pre-defined specialized multidisciplinary program were assessed at admission and discharge. Change from baseline was calculated for all kinematic and clinical outcomes, and Timed Up and Go (TUG) was defined as the primary outcome for FM. A stepwise multivariate linear regression was performed to identify which outcome measures better predict TUG changes. Results: Twenty-four patients were included in the study. The changes in TUG Cognitive test, supervised step length, and free-living (FL) step time asymmetry were identified as the best predictors of TUG changes. The supervised step length and FL step time asymmetry were able to detect a small to moderate effect of the intervention (d values ranging from -0.26 to 0.42). Conclusions: Our results support the use of kinematic outcome measures to evaluate the efficacy of multidisciplinary interventions on PD FM. The TUG Cognitive, step length, and FL step time asymmetry were identified as having the ability to predict TUG changes. More studies are needed to identify the minimal clinically important difference for step length and FL step time asymmetry in response to a multidisciplinary intervention for PD FM.
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Affiliation(s)
- Raquel Bouça-Machado
- Instituto de Medicina Molecular João Lobo Antunes, Lisbon, Portugal
- CNS - Campus Neurológico, Torres Vedras, Portugal
| | - Diogo Branco
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Gustavo Fonseca
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Raquel Fernandes
- Instituto de Medicina Molecular João Lobo Antunes, Lisbon, Portugal
| | - Daisy Abreu
- Instituto de Medicina Molecular João Lobo Antunes, Lisbon, Portugal
| | - Tiago Guerreiro
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Joaquim J. Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Lisbon, Portugal
- CNS - Campus Neurológico, Torres Vedras, Portugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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Wu Z, Xu H, Zhu S, Gu R, Zhong M, Jiang X, Shen B, Zhu J, Pan Y, Dong J, Yan J, Zhang W, Zhang L. Gait Analysis of Old Individuals with Mild Parkinsonian Signs and Those Individuals' Gait Performance Benefits Little from Levodopa. Risk Manag Healthc Policy 2021; 14:1109-1118. [PMID: 33758563 PMCID: PMC7979347 DOI: 10.2147/rmhp.s291669] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/24/2021] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose Gait analysis and the effects of levodopa on the gait characteristics in Mild parkinsonian signs (MPS) are rarely published. The present research aimed to (1) analyze the gait characteristics in MPS; (2) explore the effects of levodopa on the gait performance of MPS. Methods We enrolled 22 inpatients with MPS and 20 healthy control subjects (HC) from Nanjing Brain Hospital. The Unified Parkinson’s Disease Rating Scale was used to evaluate motor symptoms. Acute levodopa challenge test was performed to explore the effects of levodopa on the gait performance of MPS. The instrumented stand and walk test was conducted for each participant and the JiBuEn gait analysis system was used to collect gait data. Results For spatiotemporal parameters: Compared with HC, the state before taking levodopa/benserazide in MPS group (meds-off) demonstrated a decrease in stride length (SL) (p≤0.001), an increase in SL variability (p≤0.001), and swing phase time variability (p=0.016). Compared with meds-off, the state after 1 hour of taking levodopa/benserazide in MPS group (meds-on) exhibited an increase in SL (p≤0.001), a decrease in SL variability (p≤0.001). For kinematic parameters: Compared with HC, meds-off demonstrated a decrease in heel strike angle (p=0.008), range of motion (ROM) of knee joint (p=0.011) and ROM of hip joint (p=0.007). Compared with meds-off, meds-on exhibited an increase in HS (p≤0.001). Bradykinesia and rigidity scores were significantly correlated with gait parameters. Conclusion Although the clinical symptoms of the MPS group are mild, their gait damage is obvious and they exhibited a decreased SL and joints movement, and a more variable gait pattern. Levodopa had little effect on the gait performance of those individuals.
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Affiliation(s)
- Zhuang Wu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Hang Xu
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, People's Republic of China
| | - Sha Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Ruxin Gu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Bo Shen
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jun Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yang Pan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jingde Dong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jun Yan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Wenbin Zhang
- Department of Neurosurgery, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
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Varrecchia T, Castiglia SF, Ranavolo A, Conte C, Tatarelli A, Coppola G, Di Lorenzo C, Draicchio F, Pierelli F, Serrao M. An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters. PLoS One 2021; 16:e0244396. [PMID: 33606730 PMCID: PMC7894951 DOI: 10.1371/journal.pone.0244396] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 12/08/2020] [Indexed: 01/16/2023] Open
Abstract
Introduction Gait deficits are debilitating in people with Parkinson’s disease (PwPD), which inevitably deteriorate over time. Gait analysis is a valuable method to assess disease-specific gait patterns and their relationship with the clinical features and progression of the disease. Objectives Our study aimed to i) develop an automated diagnostic algorithm based on machine-learning techniques (artificial neural networks [ANNs]) to classify the gait deficits of PwPD according to disease progression in the Hoehn and Yahr (H-Y) staging system, and ii) identify a minimum set of gait classifiers. Methods We evaluated 76 PwPD (H-Y stage 1–4) and 67 healthy controls (HCs) by computerized gait analysis. We computed the time-distance parameters and the ranges of angular motion (RoMs) of the hip, knee, ankle, trunk, and pelvis. Principal component analysis was used to define a subset of features including all gait variables. An ANN approach was used to identify gait deficits according to the H-Y stage. Results We identified a combination of a small number of features that distinguished PwPDs from HCs (one combination of two features: knee and trunk rotation RoMs) and identified the gait patterns between different H-Y stages (two combinations of four features: walking speed and hip, knee, and ankle RoMs; walking speed and hip, knee, and trunk rotation RoMs). Conclusion The ANN approach enabled automated diagnosis of gait deficits in several symptomatic stages of Parkinson’s disease. These results will inspire future studies to test the utility of gait classifiers for the evaluation of treatments that could modify disease progression.
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Affiliation(s)
- Tiwana Varrecchia
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone Rome, Rome, Italy
- * E-mail:
| | - Stefano Filippo Castiglia
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
| | - Alberto Ranavolo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone Rome, Rome, Italy
| | | | - Antonella Tatarelli
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone Rome, Rome, Italy
- Department of Human Neurosciences, University of Rome Sapienza, Rome, Italy
| | - Gianluca Coppola
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
| | - Cherubino Di Lorenzo
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
| | - Francesco Draicchio
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone Rome, Rome, Italy
| | - Francesco Pierelli
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
| | - Mariano Serrao
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
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Seifert AK, Grimmer M, Zoubir AM. Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis. IEEE J Biomed Health Inform 2021; 25:547-558. [PMID: 32406849 DOI: 10.1109/jbhi.2020.2994471] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The applicability of Doppler radar for gait analysis is investigated by quantitatively comparing the measured biomechanical parameters to those obtained using motion capturing and ground reaction forces. Nineteen individuals walked on a treadmill at two different speeds, where a radar system was positioned in front of or behind the subject. The right knee angle was confined by an adjustable orthosis in five different degrees. Eleven gait parameters are extracted from radar micro-Doppler signatures. Here, new methods for obtaining the velocities of individual lower limb joints are proposed. Further, a new method to extract individual leg flight times from radar data is introduced. Based on radar data, five spatiotemporal parameters related to rhythm and pace could reliably be extracted. Further, for most of the considered conditions, three kinematic parameters could accurately be measured. The radar-based stance and flight time measurements rely on the correct detection of the time instant of maximal knee velocity during the gait cycle. This time instant is reliably detected when the radar has a back view, but is underestimated when the radar is positioned in front of the subject. The results validate the applicability of Doppler radar to accurately measure a variety of medically relevant gait parameters. Radar has the potential to unobtrusively diagnose changes in gait, e.g., to design training in prevention and rehabilitation. As contact-less and privacy-preserving sensor, radar presents a viable technology to supplement existing gait analysis tools for long-term in-home examinations.
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Mezzarobba S, Grassi M, Pellegrini L, Catalan M, Krüger B, Stragapede L, Manganotti P, Bernardis P. Action observation improves sit-to-walk in patients with Parkinson's disease and freezing of gait. Biomechanical analysis of performance. Parkinsonism Relat Disord 2020; 80:133-137. [DOI: 10.1016/j.parkreldis.2020.09.029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/14/2020] [Accepted: 09/19/2020] [Indexed: 10/23/2022]
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